Geekbench ML Score

929
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for iOS AArch64

Result Information

Upload Date November 05 2022 02:42 AM
Views 2

System Information

System Information
Operating System iOS 16.1
Model iPhone 13 Pro Max
Model IDiPhone14,3
Motherboard D64AP
CPU Information
Name Apple A15 Bionic
Topology 1 Processor, 6 Cores
Identifier ARM
Base Frequency 3.23 GHz
L1 Instruction Cache128 KB x 1
L1 Data Cache64.0 KB x 1
L2 Cache4.00 MB x 1
Memory Information
Size 5.49 GB
Inference Information
Framework TensorFlow Lite
Backend CPU
Device

Inference Performance

Workload Accuracy Score
Image Classification (F32)
100% 772
82.8 IPS
 
Image Classification (F16)
100% 760
81.5 IPS
 
Image Classification (I8)
81% 458
49.1 IPS
 
Image Segmentation (F32)
100% 1132
6.99 IPS
 
Image Segmentation (F16)
100% 1100
6.79 IPS
 
Image Segmentation (I8)
89% 1453
8.98 IPS
 
Pose Estimation (F32)
100% 424
1.72 IPS
 
Pose Estimation (F16)
100% 419
1.69 IPS
 
Pose Estimation (I8)
80% 496
2.01 IPS
 
Object Detection (F32)
100% 1101
38.6 IPS
 
Object Detection (F16)
100% 1099
38.6 IPS
 
Object Detection (I8)
52% 762
26.7 IPS
 
Face Detection (F32)
100% 1305
15.0 IPS
 
Face Detection (F16)
100% 1295
14.9 IPS
 
Face Detection (I8)
75% 856
9.83 IPS
 
Text Classification (F32)
100% 1018
402.8 IPS
 
Text Classification (F16)
100% 1033
408.4 IPS
 
Machine Translation (F32)
100% 2038
314.1 IPS
 
Machine Translation (F16)
100% 2048
315.6 IPS
 

Compare

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